Heart signal monitoring method and device, storage medium and electronic device

Abstract

A method and device for monitoring cardiac signals, a storage medium, and an electronic device are disclosed, relating to the technical field of medical data processing. The method for monitoring cardiac signals includes: within a preset monitoring time interval, determining first threshold information corresponding to a first monitoring wave based on the first monitoring wave in an electrocardiogram, where the first threshold information is used to monitor the first monitoring wave; and determining first monitoring evaluation information corresponding to the first monitoring wave based on the first threshold information. The present disclosure realizes precise monitoring of cardiac signals. Specifically, the present disclosure defines a preset monitoring time interval for the first monitoring wave according to the actual situation of the first monitoring wave, and determines the first monitoring evaluation information corresponding to the first monitoring wave in combination with the first threshold information corresponding to the first monitoring wave. The present disclosure fully takes into account the actual situation of the first monitoring wave, thereby improving the monitoring accuracy of cardiac signals.

Description

Technical Field

[0001] The present disclosure relates to the technical field of medical data processing, and particularly to a method and device for monitoring cardiac signals, a computer-readable storage medium, and an electronic device. Background Art

[0002] As is well known, the heart, as an organ that provides power for blood flow, is of self-evident importance. Effective monitoring of cardiac signals is not only conducive to timely detection of physical abnormalities in patients, thus better assisting doctors in diagnosis and treatment, but also conducive to improving the working accuracy of medical devices such as cardiac rhythm management devices (such as ICDs, CRTs, pacemakers, etc.), so as to assist in improving the curative effect, as well as patient comfort and safety.

[0003] However, existing methods for monitoring cardiac signals cannot fully take into account and / or respond in a timely manner to various actual electrical activities of the heart and their changes with the condition of the disease, and the accuracy needs to be improved, including the need to prevent and reduce over-sensing or insensitivity. Summary of the Invention

[0004] To solve the above technical problems, the present disclosure is proposed. Embodiments of the present disclosure provide a method and device for monitoring cardiac signals, a computer-readable storage medium, and an electronic device.

[0005] In one aspect, an embodiment of the present disclosure provides a method for monitoring cardiac signals, the method including: in a preset monitoring time interval, determining first threshold information corresponding to a first monitoring wave based on the first monitoring wave in an electrocardiogram, where the first threshold information is used to monitor the first monitoring wave; determining first monitoring evaluation information corresponding to the first monitoring wave based on the first threshold information.

[0006] In an embodiment of the present disclosure, determining first monitoring evaluation information corresponding to the first monitoring wave based on the first threshold information includes: determining a plurality of first time periods corresponding to the first monitoring wave based on a second monitoring wave in the electrocardiogram corresponding to the first monitoring wave; for each of the plurality of first time periods, determining peak information of the first monitoring wave corresponding to the first time period; determining the first monitoring evaluation information based on the peak information of the first monitoring wave corresponding to each of the plurality of first time periods and the first threshold information.

[0007] In an embodiment of the present disclosure, determining the first monitoring evaluation information based on the peak information of the first monitoring wave corresponding to each of the plurality of first time periods and the first threshold information includes: for each of the plurality of first time periods, determining first region label information of the first time period based on the peak information of the first monitoring wave corresponding to the first time period and the first threshold information; determining the first monitoring evaluation information based on the first region label information corresponding to each of the plurality of first time periods.

[0008] In one embodiment of the present disclosure, based on the peak information of the first monitoring wave corresponding to the first time period and the first threshold information, determining the first area label information of the first time period includes: calculating the first difference information corresponding to the peak information of the first monitoring wave corresponding to the first time period and the first threshold information; calculating the first ratio information corresponding to the first difference information and the first threshold information; and determining the first area label information based on the first ratio information.

[0009] In one embodiment of the present disclosure, multiple first time periods corresponding to the first monitoring wave are determined based on the second monitoring wave in the electrocardiogram corresponding to the first monitoring wave, including: determining the occurrence cycle information corresponding to the second monitoring wave; determining multiple first monitoring nodes that monitor the second monitoring wave; and determining multiple first time periods based on the occurrence cycle information and the multiple first monitoring nodes, wherein the multiple first time periods and the multiple first monitoring nodes are in a one-to-one correspondence.

[0010] In one embodiment of the present disclosure, multiple first time periods are determined based on occurrence cycle information and multiple first monitoring nodes, including: for each first monitoring node among the multiple first monitoring nodes, postponing a preset time period based on the first monitoring node to determine the start time node of the first time period corresponding to the first monitoring node; determining the end time node of the first time period corresponding to the first monitoring node based on a preset percentage of the occurrence cycle information; and determining the first time period corresponding to the first monitoring node based on the start time node and the end time node.

[0011] In one embodiment of the present disclosure, the first monitoring wave is the T wave in the electrocardiogram, and the second monitoring wave is the R wave in the electrocardiogram; and / or, the first monitoring wave is a far-field R-waves (FFR wave) of an electrocardiogram signal mainly based on atrial electrical activity (such as an atrial electrocardiogram), and the second monitoring wave is the P wave in the electrocardiogram.

[0012] In one embodiment of the present disclosure, the preset monitoring time interval includes an endogenous rhythm monitoring time interval, and the method further includes: determining a threshold node and a second threshold information corresponding to a second monitoring wave based on a second monitoring wave in an electrocardiogram corresponding to the first monitoring wave, wherein the threshold node and the second threshold information are used to perceive the second monitoring wave, and the second threshold information is used to avoid perceiving the first monitoring wave; determining second monitoring evaluation information corresponding to the second monitoring wave based on the threshold node and the second threshold information.

[0013] In another aspect, an embodiment of the present disclosure provides a method for monitoring cardiac signals. The method includes: within a preset monitoring time interval, determining a threshold node and second threshold information corresponding to a second monitoring wave based on the second monitoring wave in an electrocardiogram corresponding to a first monitoring wave, where the threshold node and the second threshold information are used to sense the second monitoring wave, and the second threshold information is used to avoid sensing the first monitoring wave; determining second monitoring evaluation information corresponding to the second monitoring wave based on the threshold node and the second threshold information.

[0014] In another aspect, an embodiment of the present disclosure provides a method for monitoring cardiac signals. The method includes: within a preset monitoring time interval, determining first threshold information corresponding to a first monitoring wave based on the first monitoring wave in an electrocardiogram, where the first threshold information is used to monitor the first monitoring wave; determining first monitoring evaluation information corresponding to the first monitoring wave based on the first threshold information; determining a threshold node and second threshold information corresponding to a second monitoring wave based on the second monitoring wave in the electrocardiogram corresponding to the first monitoring wave, where the threshold node and the second threshold information are used to sense the second monitoring wave, and the second threshold information is used to avoid sensing the first monitoring wave; determining second monitoring evaluation information corresponding to the second monitoring wave based on the threshold node and the second threshold information.

[0015] In an embodiment of the present disclosure, determining second monitoring evaluation information corresponding to the second monitoring wave based on the threshold node and the second threshold information includes: determining a plurality of second time periods corresponding to the second monitoring wave based on the threshold node and the second threshold information; for each of the plurality of second time periods, determining start value information and peak value information corresponding to the second time period; determining the second monitoring evaluation information based on the start value information and the peak value information respectively corresponding to the plurality of second time periods.

[0016] In an embodiment of the present disclosure, determining the second monitoring evaluation information based on the start value information and the peak value information respectively corresponding to the plurality of second time periods includes: for each of the plurality of second time periods, determining second region label information of the second time period based on the start value information and the peak value information corresponding to the second time period; determining the second monitoring evaluation information based on the second region label information respectively corresponding to the plurality of first time periods.

[0017] In an embodiment of the present disclosure, determining the second region label information of the second time period based on the start value information and the peak value information corresponding to the second time period includes: calculating second difference information between the peak value information and the start value information; calculating second ratio information between the second difference information and the peak value information; determining the second region label information based on the second ratio information.

[0018] In one embodiment of the present disclosure, multiple second time periods corresponding to the second monitoring wave are determined based on the threshold node and the second threshold information, including: determining multiple second monitoring nodes that monitor the second monitoring wave based on the threshold node; for each second monitoring node among the multiple second monitoring nodes, taking the second monitoring node as the starting point, and extending the time period after the preset time period, as the second time period corresponding to the second monitoring node.

[0019] In one embodiment of the present disclosure, after determining the second monitoring and evaluation information corresponding to the second monitoring wave based on the threshold node and the second threshold information, the method also includes: adjusting the parameters of the perception function of the monitoring device based on the first monitoring and evaluation information and / or the second monitoring and evaluation information; and / or, sending alarm information based on the first monitoring and evaluation information and / or the second monitoring and evaluation information; and / or, adjusting at least one of the first threshold information, the threshold node, the second threshold information and the maximum sensitivity threshold based on the first monitoring and evaluation information and / or the second monitoring and evaluation information; and / or, storing relevant data corresponding to the first monitoring and evaluation information and / or the second monitoring and evaluation information for information post-processing and doctor evaluation.

[0020] On the other hand, an embodiment of the present disclosure provides a cardiac signal monitoring device, which includes: a first determination module, used to determine first threshold information corresponding to the first monitoring wave based on the first monitoring wave in the electrocardiogram within a preset monitoring time interval, wherein the first threshold information is used to monitor the first monitoring wave; a second determination module, used to determine first monitoring evaluation information corresponding to the first monitoring wave based on the first threshold information.

[0021] On the other hand, an embodiment of the present disclosure provides a cardiac signal monitoring device, which includes: a third determination module, used to determine a threshold node and second threshold information corresponding to a second monitoring wave based on a second monitoring wave in an electrocardiogram corresponding to the first monitoring wave, wherein the threshold node and the second threshold information are used to perceive the second monitoring wave, and the second threshold information is used to avoid perceiving the first monitoring wave; a fourth determination module, used to determine second monitoring evaluation information corresponding to the second monitoring wave based on the threshold node and the second threshold information.

[0022] In another aspect, embodiments of the present disclosure provide a cardiac signal monitoring device, which includes: a first determination module, configured to determine first threshold information corresponding to a first monitoring wave based on the first monitoring wave in an electrocardiogram during a preset monitoring time interval, where the first threshold information is used to monitor the first monitoring wave; a second determination module, configured to determine first monitoring evaluation information corresponding to the first monitoring wave based on the first threshold information; a third determination module, configured to determine a threshold node and second threshold information corresponding to a second monitoring wave based on the second monitoring wave in the electrocardiogram corresponding to the first monitoring wave, where the threshold node and the second threshold information are used to sense the second monitoring wave, and the second threshold information is used to avoid sensing the first monitoring wave; a fourth determination module, configured to determine second monitoring evaluation information corresponding to the second monitoring wave based on the threshold node and the second threshold information.

[0023] In another aspect, embodiments of the present disclosure provide a computer-readable storage medium storing a computer program for executing the cardiac signal monitoring method mentioned in the above embodiments.

[0024] In another aspect, embodiments of the present disclosure provide an electronic device, which includes: a processor and a memory for storing processor-executable instructions, where the processor is configured to execute the cardiac signal monitoring method mentioned in the above embodiments.

[0025] The cardiac signal monitoring method provided by the embodiments of the present disclosure realizes precise monitoring of cardiac signals by determining, during a preset monitoring time interval, first threshold information corresponding to a first monitoring wave based on the first monitoring wave, and then determining first monitoring evaluation information corresponding to the first monitoring wave based on the first threshold information. Specifically, the embodiments of the present disclosure define a preset monitoring time interval for the first monitoring wave according to the actual situation of the first monitoring wave, and determine first monitoring evaluation information corresponding to the first monitoring wave in combination with the first threshold information corresponding to the first monitoring wave. It can be seen that the embodiments of the present disclosure fully consider the actual situation of the first monitoring wave, thereby improving the monitoring accuracy of cardiac signals. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] By describing the embodiments of the present disclosure in more detail in conjunction with the drawings, the above and other objects, features, and advantages of the present disclosure will become more apparent. The drawings are used to provide a further understanding of the embodiments of the present disclosure, and constitute a part of the specification, and are used to explain the present disclosure together with the embodiments of the present disclosure, and do not constitute a limitation to the present disclosure. In the drawings, the same reference numerals generally represent the same components or steps.

[0027] Figure 1 Shown is a schematic diagram of a scenario applicable to the embodiments of the present disclosure.

[0028] Figure 2The following is a schematic diagram of another scenario applicable to the embodiments of the present disclosure.

[0029] Figure 3 The following is a schematic flowchart of a cardiac signal monitoring method provided by an exemplary embodiment of the present disclosure.

[0030] Figure 4 The following is a schematic flowchart of determining first monitoring evaluation information corresponding to a first monitoring wave based on first threshold information provided by an exemplary embodiment of the present disclosure.

[0031] Figure 5 The following is a schematic flowchart of determining first monitoring evaluation information based on peak information of first monitoring waves corresponding to multiple first time periods and first threshold information provided by an exemplary embodiment of the present disclosure.

[0032] Figure 6 The following is a schematic flowchart of determining first region label information of a first time period based on peak information of a first monitoring wave corresponding to the first time period and first threshold information provided by an exemplary embodiment of the present disclosure.

[0033] Figure 7 The following is a schematic flowchart of determining multiple first time periods corresponding to a first monitoring wave based on a second monitoring wave corresponding to the first monitoring wave provided by an exemplary embodiment of the present disclosure.

[0034] Figure 8 The following is a schematic waveform diagram monitored in a pacing rhythm monitoring time interval provided by an exemplary embodiment of the present disclosure.

[0035] Figure 9 The following is a schematic flowchart of a cardiac signal monitoring method provided by another exemplary embodiment of the present disclosure.

[0036] Figure 10 The following is a schematic flowchart of determining second monitoring evaluation information corresponding to a second monitoring wave based on a threshold node and second threshold information provided by an exemplary embodiment of the present disclosure.

[0037] Figure 11 The following is a schematic flowchart of determining second monitoring evaluation information based on starting value information and peak information corresponding to multiple second time periods provided by an exemplary embodiment of the present disclosure.

[0038] Figure 12 The following is a schematic flowchart of determining second region label information of a second time period based on starting value information and peak information corresponding to the second time period provided by an exemplary embodiment of the present disclosure.

[0039] Figure 13The figure shows a schematic flowchart of determining multiple second time periods corresponding to a second monitoring wave based on a threshold node and second threshold information provided by an exemplary embodiment of the present disclosure.

[0040] Figure 14 The figure shows a schematic waveform diagram monitored within a self-rhythm monitoring time interval provided by an exemplary embodiment of the present disclosure.

[0041] Figure 15 The figure shows a schematic flowchart of a cardiac signal monitoring method provided by another exemplary embodiment of the present disclosure.

[0042] Figure 16 The figure shows a schematic structural diagram of a cardiac signal monitoring device provided by an exemplary embodiment of the present disclosure.

[0043] Figure 17 The figure shows a schematic structural diagram of a second determination module provided by an exemplary embodiment of the present disclosure.

[0044] Figure 18 The figure shows a schematic structural diagram of a first monitoring and evaluation information determination unit provided by an exemplary embodiment of the present disclosure.

[0045] Figure 19 The figure shows a schematic structural diagram of a first time period determination unit provided by an exemplary embodiment of the present disclosure.

[0046] Figure 20 The figure shows a schematic structural diagram of a cardiac signal monitoring device provided by another exemplary embodiment of the present disclosure.

[0047] Figure 21 The figure shows a schematic structural diagram of a fourth determination module provided by an exemplary embodiment of the present disclosure.

[0048] Figure 22 The figure shows a schematic structural diagram of a second monitoring and evaluation information determination unit provided by an exemplary embodiment of the present disclosure.

[0049] Figure 23 The figure shows a schematic structural diagram of a second time period determination unit provided by an exemplary embodiment of the present disclosure.

[0050] Figure 24 The figure shows a schematic structural diagram of a cardiac signal monitoring device provided by another exemplary embodiment of the present disclosure.

[0051] Figure 25 The figure shows a schematic structural diagram of an electronic device provided by an exemplary embodiment of the present disclosure. Detailed implementation manners

[0052] Hereinafter, example embodiments according to the present disclosure will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all embodiments of the present disclosure. It should be understood that the present disclosure is not limited by the example embodiments described herein.

[0053] Application Overview

[0054] A cardiac signal refers to an electrical signal that can characterize cardiac activity, such as R wave, T wave, P wave, and far-field R wave (FFR). Among them, the R wave is often also referred to as the QRS complex, which characterizes the time and potential changes during the depolarization of the left and right ventricular muscles. The T wave characterizes the potential change generated by the rapid repolarization of the ventricular muscles. The P wave characterizes the potential change generated by atrial depolarization and reflects the depolarization process of the left and right atria. The FFR characterizes the depolarization electrical activity of the ventricular muscles sensed by an electrode located outside the heart (such as an atrial electrode).

[0055] Currently, for medical devices such as implantable cardiac pacemakers and implantable cardioverter-defibrillators (ICDs), the purpose of monitoring cardiac signals is usually achieved by means of a sensing threshold algorithm that is fixed or automatically adjusted according to the amplitude of the R wave or P wave. However, the monitoring accuracy still needs to be improved in some clinical situations. Especially for the situation where the R wave or P wave decreases significantly and / or the T wave increases significantly with time and / or the patient's myocardial condition changes, the existing sensing threshold algorithms are difficult to accurately monitor the electrical activity of the heart, and there may be a situation of R wave under-sensing or T wave over-sensing, which will further affect the accuracy of the device's diagnosis of arrhythmia. Although the prior art involves solutions to change the sensing threshold, there will be situations of R wave under-sensing, T wave over-sensing, and / or VF under-sensing, resulting in false positive or false negative detection of arrhythmia, and further leading to improper treatment. When such problems occur clinically, doctors often need to solve the above problems through the programming (non-invasive) of the ICD or even the repositioning of the relevant electrode positions (invasive). For example, if the patient's R wave decreases significantly, the doctor may need to increase the sensing sensitivity of the sensing amplifier to reduce or eliminate the under-sensing of the R wave; for the mis-sensing of the T wave, the sensing sensitivity of the sensing amplifier may need to be reduced, but often the desired effect cannot be achieved. At the same time, these problems are often discovered after the patient has problems, such as the failure to detect VF resulting in the patient fainting or the physiological heart rate increase during exercise being detected as VT / VF, causing mis-discharge, which causes the patient pain and only then is the problem discovered when the patient arrives at the hospital and dealt with. Instead of being informed in advance or automatically adjusted to reduce or avoid similar events from occurring.

[0056] Furthermore, in recent years, with the rapid development of intelligent medical technologies, implantation surgeries based on medical devices such as cardiac pacemakers or ICDs have become increasingly popular. More hospitals are offering such therapies and more doctors are performing the surgeries. However, currently, the implantation experience of doctors and their experience with implantable devices and their management, especially for doctors in smaller and remote hospitals, is still relatively limited. Therefore, how to improve the monitoring accuracy of cardiac signals and their rhythms in medical devices, reduce misjudgments, better assist doctors in diagnosis and treatment, and at the same time increase patients' satisfaction and comfort with the therapy has become an urgent problem to be solved. In the context of relatively tense patient-doctor relationships in China, this deserves more attention and specific solutions.

[0057] Based on the above-mentioned technical problems, the basic concept of the present disclosure is to propose a cardiac signal monitoring method, a cardiac signal monitoring device, a computer-readable storage medium, and an electronic device.

[0058] The cardiac signal monitoring method provided by an embodiment of the present disclosure includes: within a preset monitoring time interval, determining first threshold information corresponding to a first monitoring wave based on the first monitoring wave in an electrocardiogram, where the first threshold information is used to monitor the first monitoring wave; and determining first monitoring evaluation information corresponding to the first monitoring wave based on the first threshold information.

[0059] The cardiac signal monitoring method provided by the present disclosure realizes precise monitoring of cardiac signals by determining, within a preset monitoring time interval, first threshold information corresponding to a first monitoring wave based on the first monitoring wave, and then determining first monitoring evaluation information corresponding to the first monitoring wave based on the first threshold information. Specifically, the present disclosure defines a preset monitoring time interval for the first monitoring wave according to the actual situation of the first monitoring wave, and determines first monitoring evaluation information corresponding to the first monitoring wave in combination with the first threshold information corresponding to the first monitoring wave. It can be seen that the present disclosure fully takes into account the actual situation of the first monitoring wave, thereby improving the monitoring accuracy of cardiac signals.

[0060] After introducing the basic principle of the present disclosure, various non-limiting embodiments of the present disclosure will be specifically introduced below with reference to the accompanying drawings.

[0061] Exemplary Scenarios

[0062] Figure 1 Shown is a schematic diagram of a scenario applicable to an embodiment of the present disclosure. As Figure 1 shown, the scenario applicable to the embodiment of the present disclosure includes a server 1 and a medical device 2, where there is a communication connection relationship between the server 1 and the medical device 2.

[0063] Specifically, the medical device 2 is used to collect the first monitoring wave in the electrocardiogram corresponding to the subject. Exemplarily, the first monitoring wave is a T wave or an FFR wave. The server 1 is used to determine the first threshold information corresponding to the first monitoring wave based on the first monitoring wave within a preset monitoring time interval, where the first threshold information is used to monitor the first monitoring wave; and determine the first monitoring evaluation information corresponding to the first monitoring wave based on the first threshold information. That is, this scenario implements a cardiac signal monitoring method.

[0064] Since Figure 1 The above-described scenario shown utilizes the server 1 to implement a cardiac signal monitoring method. Therefore, it can not only improve the adaptability of the scenario but also effectively reduce the calculation and storage capacity of the medical device 2.

[0065] It should be noted that the present disclosure is also applicable to another scenario. Figure 2 The following shows a schematic diagram of another scenario applicable to the embodiments of the present disclosure. Specifically, in this scenario, there is a medical device 3, and the medical device 3 includes a parameter acquisition module 301 and a calculation module 302.

[0066] Specifically, the parameter acquisition module 301 in the medical device 3 is used to collect the first monitoring wave in the electrocardiogram corresponding to the subject. The calculation module 302 is used to determine the first threshold information corresponding to the first monitoring wave based on the first monitoring wave within a preset monitoring time interval, where the first threshold information is used to monitor the first monitoring wave; and determine the first monitoring evaluation information corresponding to the first monitoring wave based on the first threshold information. That is, this scenario implements a cardiac signal monitoring method.

[0067] Since Figure 2 The above-described scenario shown utilizes the medical device 3 to implement a cardiac signal monitoring method without the need for data transmission operations with related devices such as a server. Therefore, the above scenario can ensure the real-time nature of the cardiac signal monitoring method.

[0068] Exemplarily, in Figure 1 and Figure 2 the application scenarios shown, there are also a communication module and a feedback module. For example, in Figure 1 , there is a communication connection relationship between the communication module and the medical device 2, and the feedback module has a communication connection relationship with the server 1 and the medical device 2 respectively. Another example is that in Figure 2 , both the communication module and the feedback module have a communication connection relationship with the calculation module 302. Specifically, the communication module is used to send information (such as a warning message) to relevant personnel (such as doctors, the patient himself, and the patient's family members), and the feedback mechanism is used to modify the parameters of the relevant sensing module in the medical device 2 according to the calculation result of the server 1.

[0069] It should be noted that the medical devices mentioned in the above scenarios can be either implantable medical devices (IMDs), such as cardiac pacemakers or ICD / CRT-D, subQ ICD, or non-implantable medical devices, such as WCD (wearable ICD), external defibrillators (such as AEDs used in hospitals), etc. The embodiments of the present disclosure do not make a unified limitation on this.

[0070] Exemplary Methods

[0071] Figure 3 The figure shows a schematic flowchart of a cardiac signal monitoring method provided by an exemplary embodiment of the present disclosure. As Figure 3 shown, the cardiac signal monitoring method provided by the embodiments of the present disclosure includes the following steps.

[0072] Step S100, in a preset monitoring time interval, determine first threshold information corresponding to a first monitoring wave based on the first monitoring wave in an electrocardiogram.

[0073] Exemplarily, the first threshold information is used to monitor the first monitoring wave. For example, if the first monitoring wave is a T wave, the first threshold information is a fixed threshold. Another example is that if the first monitoring wave is a T wave, the first threshold information is a linearly decaying threshold.

[0074] In the actual application process, if the T wave is very close to the first threshold information, T wave misperception may occur, and it may be necessary to adjust relevant parameters (such as the magnification factor) of relevant monitoring devices, or it may be necessary to inform the doctor. In an embodiment of the present disclosure, the first threshold information includes attenuation threshold information of the first monitoring wave, for example, attenuation threshold information when measuring the peak information of the first monitoring wave.

[0075] Exemplarily, the preset monitoring time interval includes a paced rhythms monitoring time interval and an intrinsic rhythms monitoring time interval. Among them, the paced rhythms monitoring time interval refers to the monitoring time interval of the heart beats induced by the auxiliary treatment of medical devices such as pacemakers. The intrinsic rhythms monitoring time interval refers to the monitoring time interval of the heart rate of the test subject without the auxiliary treatment of medical devices such as pacemakers.

[0076] In an embodiment of the present disclosure, the preset monitoring time interval is a ventricular paced rhythms monitoring time interval, and the first monitoring wave includes a T wave. That is, in the paced rhythms monitoring time interval, the ventricular signals of the heart are monitored. In another embodiment of the present disclosure, the preset monitoring time interval is an atrial paced rhythms monitoring time interval, and the first monitoring wave includes an FFR wave. That is, in the atrial paced rhythms monitoring time interval, the atrial signals of the heart are monitored.

[0077] Step S200, determining first monitoring evaluation information corresponding to a first monitoring wave based on first threshold information.

[0078] Exemplarily, the first monitoring evaluation information includes whether the first monitoring wave is likely to approach being sensed, i.e., over-sensing (or an evaluation of the possibility of over-sensing of the T wave), so as to adjust relevant sensing parameters of the implantable medical device based on the first monitoring evaluation information, and / or assist a doctor in diagnostic and treatment work based on the first monitoring evaluation information.

[0079] The cardiac signal monitoring method provided by the embodiments of the present disclosure realizes precise monitoring of cardiac signals by determining first threshold information corresponding to a first monitoring wave based on the first monitoring wave in an electrocardiogram within a preset monitoring time interval, and then determining first monitoring evaluation information corresponding to the first monitoring wave based on the first threshold information. Specifically, the embodiments of the present disclosure define a preset monitoring time interval for the first monitoring wave according to the actual situation of the first monitoring wave, and determine first monitoring evaluation information corresponding to the first monitoring wave in combination with the first threshold information corresponding to the first monitoring wave. It can be seen that the embodiments of the present disclosure fully consider the actual situation of the first monitoring wave, thereby improving the monitoring accuracy of cardiac signals.

[0080] Figure 4 The following is a schematic flowchart showing the process of determining first monitoring evaluation information corresponding to a first monitoring wave based on first threshold information provided by an exemplary embodiment of the present disclosure. In the present disclosure Figure 3 Based on the embodiment shown, an embodiment of the present disclosure is extended Figure 4 The following focuses on describing Figure 4 The differences between the embodiment shown and Figure 3 The embodiment shown, and the same parts will not be described again.

[0081] As Figure 4 shown, in the embodiments of the present disclosure, the step of determining first monitoring evaluation information corresponding to a first monitoring wave based on first threshold information includes the following steps.

[0082] Step S210, determining a plurality of first time periods corresponding to the first monitoring wave based on a second monitoring wave in the electrocardiogram corresponding to the first monitoring wave.

[0083] It should be understood that the plurality of first time periods mentioned in step S210 belong to the preset monitoring time interval.

[0084] Exemplarily, if the first monitoring wave is the T wave, then the second monitoring wave corresponding to the first monitoring wave is the R wave. That is, the electrical activity of the ventricles of the heart is monitored based on the first monitoring wave and the second monitoring wave. For another example, if the first monitoring wave is the FFR wave, then the second monitoring wave corresponding to the first monitoring wave is the P wave. That is, the electrical activity of the atria of the heart is monitored based on the first monitoring wave and the second monitoring wave.

[0085] Step S220: For each of the multiple first time periods, determine the peak information of the first monitoring wave corresponding to the first time period.

[0086] Exemplarily, the peak information of the first monitoring wave corresponding to the first time period refers to the peak information of the first monitoring wave detected within this first time period.

[0087] Step S230: Based on the peak information of the first monitoring wave corresponding to each of the multiple first time periods and the first threshold information, determine the first monitoring evaluation information.

[0088] Exemplarily, based on the peak information of the first monitoring wave corresponding to each of the multiple first time periods and the first threshold information, determine the label information corresponding to each of the multiple first time periods (i.e., the first region label information mentioned in the following embodiments), and then determine the first monitoring evaluation information based on the label information corresponding to each of the multiple first time periods.

[0089] The method for monitoring cardiac signals provided by the embodiments of the present disclosure divides the preset monitoring time interval into multiple first time periods by determining the multiple first time periods corresponding to the first monitoring wave based on the second monitoring wave in the electrocardiogram corresponding to the first monitoring wave. Then, for each of the multiple first time periods, determine the peak information of the first monitoring wave corresponding to the first time period. Subsequently, based on the peak information of the first monitoring wave corresponding to each of the multiple first time periods and the first threshold information, determine the first monitoring evaluation information, thereby achieving the purpose of determining the first monitoring evaluation information corresponding to the first monitoring wave based on the first threshold information. Since the embodiments of the present disclosure divide the preset monitoring time interval into multiple first time periods, it is possible to periodically review the monitoring situation of cardiac signals, and thus obtain more accurate first monitoring evaluation information. In addition, if the first threshold information includes the attenuation threshold information of the first monitoring wave, then with the multiple first threshold information corresponding to each of the first time periods and the peak information of the first monitoring wave, it is possible to more accurately and comprehensively evaluate the monitoring (or avoidance of monitoring) situation of the first threshold information for the first monitoring wave, and thus obtain more reference - meaningful and more accurate first monitoring evaluation information.

[0090] Figure 5 The following shows a schematic flowchart of determining the first monitoring evaluation information based on the peak information of the first monitoring wave corresponding to each of the multiple first time periods and the first threshold information provided by an exemplary embodiment of the present disclosure. In the present disclosureFigure 4 Based on the illustrated embodiments, the present disclosure is extended Figure 5 from the illustrated embodiments, which will be mainly described below Figure 5 The differences between the illustrated embodiments and Figure 4 the illustrated embodiments are described below, and the same parts will not be elaborated

[0091] For example Figure 5 As shown, in the embodiments of the present disclosure, the step of determining the first monitoring and evaluation information based on the peak information of the first monitoring wave corresponding to each of the plurality of first time periods and the first threshold information includes the following steps

[0092] Step S231: For each of the plurality of first time periods, based on the peak information of the first monitoring wave corresponding to the first time period and the first threshold information, determine the first region label information of the first time period

[0093] Exemplarily, the first region label includes an adjustment label, a key attention label, and a maintenance label. Correspondingly, the first region label information includes adjustment label information, key attention label information, and maintenance label information. The adjustment label indicates that the sensing parameter corresponding to the cardiac signal (such as the first threshold information mentioned above) needs to be adjusted. The key attention label indicates that there is an abnormality in the sensing parameter corresponding to the cardiac signal and needs to be key-attended, but the adjustment is not implemented temporarily. The maintenance label indicates that the sensing parameter corresponding to the cardiac signal is appropriate and does not need to be adjusted

[0094] Step S232: Determine the first monitoring and evaluation information based on the first region label information corresponding to each of the plurality of first time periods

[0095] For example, if the first region label information of six consecutive first time periods among the plurality of first time periods mentioned in step S232 is all adjustment label information, then it indicates that the sensing parameter corresponding to the cardiac signal needs to be adjusted

[0096] The cardiac signal monitoring method provided by the embodiments of the present disclosure determines the first region label information of the first time period for each of the plurality of first time periods based on the peak information of the first monitoring wave corresponding to the first time period and the first threshold information, and then determines the first monitoring and evaluation information based on the first region label information corresponding to each of the plurality of first time periods, thereby achieving the purpose of determining the first monitoring and evaluation information based on the peak information of the first monitoring wave corresponding to each of the plurality of first time periods and the first threshold information. Whether it is a patient with heart disease or a patient without heart disease, their cardiac signals are very complex. Therefore, the embodiments of the present disclosure improve the rationality and accuracy of the determined first monitoring and evaluation information by monitoring in time periods and combining the first region label information corresponding to each time period

[0097] Figure 6 The figure shows a schematic flowchart of determining the first region label information of the first time period based on the peak information of the first monitoring wave corresponding to the first time period and the first threshold information in an exemplary embodiment of the present disclosure. In the present disclosure Figure 5 Based on the shown embodiment, the present disclosure Figure 6 extends an embodiment shown below, and Figure 6 the differences between the embodiment shown below and Figure 5 the embodiment shown above will be emphasized, and the same parts will not be elaborated.

[0098] As Figure 6 shown, in the embodiment of the present disclosure, the steps of determining the first region label information of the first time period based on the peak information of the first monitoring wave corresponding to the first time period and the first threshold information include the following steps.

[0099] Step S2311: Calculate the first difference information corresponding to the peak information of the first monitoring wave corresponding to the first time period and the first threshold information.

[0100] Exemplarily, the first monitoring wave is a T wave, and the peak information of the first monitoring wave is represented by T Pn , and the first threshold information is the attenuation threshold information corresponding to when T Pn is measured, which is represented by T tn . Then, the first difference information T 1n mentioned in step S2311 can be expressed by the following formula (1).

[0101] T 1n = T tn - T pn (1)

[0102] It should be understood that in the embodiment of the present disclosure, n represents different first time periods and is a positive integer greater than or equal to 1.

[0103] Step S2312: Calculate the first ratio information corresponding to the first difference information and the first threshold information.

[0104] Continuing with the above example, the first ratio information T 2n can be expressed by the following formula (2).

[0105]

[0106] Step S2313: Determine the first region label information based on the first ratio information.

[0107] For example, if the first monitoring wave is a T wave and the first ratio information T 2nIf it is less than 10%, it is confirmed that the first region label information is the "potential T-wave over-sensing" label information. Correspondingly, if the first region label information corresponding to six consecutive first time periods is the "potential T-wave over-sensing" label information, the original and filtered cardiac electrical signals can be stored for viewing by professionals (such as doctors), or sent to professionals and / or the subject himself and / or the subject's family members via text messages, social media (such as WeChat), etc.

[0108] The cardiac signal monitoring method provided by the embodiments of the present disclosure calculates the first difference information corresponding to the peak information of the first monitoring wave and the first threshold information in the first time period, then calculates the first ratio information corresponding to the first difference information and the first threshold information, and determines the first region label information based on the first ratio information, thereby achieving the purpose of determining the first region label information of the first time period based on the peak information of the first monitoring wave and the first threshold information in the first time period. The embodiments of the present disclosure can improve the accuracy of the determined first region label information.

[0109] Figure 7 The following is a schematic flowchart of determining multiple first time periods corresponding to the first monitoring wave based on the second monitoring wave corresponding to the first monitoring wave provided by an exemplary embodiment of the present disclosure. In the present disclosure Figure 4 Based on the embodiments shown, the present disclosure Figure 7 extends to the embodiments shown below. The following focuses on Figure 7 the differences between the embodiments shown and Figure 4 the embodiments shown, and the same parts will not be described again.

[0110] As Figure 7 shown, in the embodiments of the present disclosure, the steps of determining multiple first time periods corresponding to the first monitoring wave based on the second monitoring wave corresponding to the first monitoring wave include the following steps.

[0111] Step S211, determine the occurrence cycle information corresponding to the second monitoring wave.

[0112] Exemplarily, if the first monitoring wave is a T wave and the second monitoring wave is an R wave, then the occurrence cycle information corresponding to the second monitoring wave is determined based on the peaks of adjacent R waves, that is, the time cycle information between the peaks of adjacent R waves (which can be expressed as R-R) is determined as the occurrence cycle information.

[0113] Step S212, determine multiple first monitoring nodes where the second monitoring wave is detected.

[0114] For example, if the second monitoring wave is an R wave, the first monitoring node is the starting node where the R wave is first detected. Since the R wave is periodic, there will be multiple first monitoring nodes corresponding to multiple "consecutive" R waves.

[0115] Step S213: Determine a plurality of first time periods based on the occurrence period information and a plurality of first monitoring nodes.

[0116] Exemplarily, there is a one-to-one correspondence between the plurality of first monitoring nodes and the plurality of first time periods. Specifically, for each first monitoring node among the plurality of first monitoring nodes mentioned in step S213, based on the first monitoring node, a preset time period is extended (for example, extended by 200 ms (or 100 ms), programmable), to determine the start time node of the first time period corresponding to the first monitoring node. Then, based on a preset percentage of the occurrence period information (for example, the time length of 35% of the occurrence period, that is, the time length of 35% of the RR interval), determine the end time node of the first time period corresponding to the first monitoring node. Finally, based on the start time node and the end time node, determine the first time period corresponding to the first monitoring node.

[0117] The cardiac signal monitoring method provided by the embodiments of the present disclosure realizes the purpose of determining a plurality of first time periods corresponding to the first monitoring wave based on the second monitoring wave corresponding to the first monitoring wave by determining the occurrence period information corresponding to the second monitoring wave, then determining a plurality of first monitoring nodes that monitor the second monitoring wave, and further determining a plurality of first time periods based on the occurrence period information and the plurality of first monitoring nodes. The determination method of the first time period mentioned in the embodiments of the present disclosure fully takes into account the physiological connection between the first monitoring wave and the second monitoring wave with an associated relationship, and finds the correlation between the first threshold information and the first monitoring wave, thereby realizing the purpose of more accurately monitoring cardiac signals within a preset monitoring time interval.

[0118] Figure 8 The following shows a waveform schematic diagram monitored in a pacing rhythm monitoring time interval provided by an exemplary embodiment of the present disclosure. Specifically, Figure 8 The following shows a waveform schematic diagram of the T wave monitored in a pacing rhythm monitoring time interval. Figure 8 Examples of the first threshold information, etc. are given. Those skilled in the art can clearly know that Figure 8 This is only an example and does not constitute the sole limitation of the technical solution of the present disclosure.

[0119] Figure 9 The following shows a flowchart of a cardiac signal monitoring method provided by another exemplary embodiment of the present disclosure. Based on the embodiment shown in the present disclosure Figure 3 The embodiment shown in the present disclosure is extended to the embodiment shown in the present disclosure Figure 9 The following focuses on describing Figure 9 The differences between the embodiment shown in Figure 3 the embodiment shown and

[0120] Specifically, in the embodiments of the present disclosure, the preset monitoring time interval includes the self-rhythm monitoring time interval. As Figure 9 shown, the heart signal monitoring method provided by the embodiments of the present disclosure further includes the following steps.

[0121] Step S300, determining a threshold node and second threshold information corresponding to the second monitoring wave based on the second monitoring wave in the electrocardiogram corresponding to the first monitoring wave.

[0122] Exemplarily, the threshold node and the second threshold information are used to sense the second monitoring wave, and the second threshold information is used to avoid sensing the first monitoring wave. Optionally, the threshold node is used to filter out the bands with less monitoring significance (such as not meeting the preset monitoring conditions) in the second monitoring wave. In an embodiment of the present disclosure, the threshold node is a threshold point and a time point, that is, the intersection point of the second threshold information and the second monitoring wave. Exemplarily, the second threshold information is based on the second monitoring wave and changes with a certain rule, and is used to avoid sensing the first monitoring wave. For example, the second threshold information is linear or exponential decay threshold information, and based on this linear decay threshold information, it is possible to avoid sensing the first monitoring wave.

[0123] It should be noted that, in some embodiments, the second threshold information mentioned here is the same as the first threshold information mentioned in the above embodiments. In addition, in some other embodiments, the threshold node and the second threshold information mentioned here can be collectively referred to as a threshold information. For example, the threshold node belongs to a part of the second threshold information. It should be understood that as long as the corresponding threshold information can substantially complete the monitoring work mentioned in this embodiment, the division and naming of the threshold can be determined by those skilled in the art according to the actual situation.

[0124] Step S400, determining second monitoring evaluation information corresponding to the second monitoring wave based on the threshold node and the second threshold information.

[0125] In an embodiment of the present disclosure, a cycle of the second monitoring wave is sensed based on the threshold node. Once the second monitoring wave is sensed, at the peak of the second monitoring wave corresponding to the sensing point, the sensing threshold of the medical device is limited to decay with time along the second threshold information until it decays to the next threshold node, and then the second monitoring wave of the next cycle is sensed, thus realizing cyclic monitoring.

[0126] The heart signal monitoring method provided by the embodiments of the present disclosure achieves the purpose of simultaneously monitoring the first monitoring wave and the second monitoring wave within the self-rhythm monitoring time interval, thereby improving the accuracy and rationality of heart signal monitoring.

[0127] It should be noted that Figure 9The step S300 and the step S400 mentioned in the illustrated embodiment are not limited to being executed after the step S200, but may also be executed before the step S100, or executed in parallel with the step S100 and the step S200, and the embodiment of the present disclosure does not make a unified limitation on this.

[0128] Figure 10 The figure shows a flow chart of determining the second monitoring evaluation information corresponding to the second monitoring wave based on the threshold node and the second threshold information provided by an exemplary embodiment of the present disclosure. Figure 9 The present disclosure is extended based on the embodiment shown Figure 10 The embodiment shown is described below in detail. Figure 10 The embodiment shown and Figure 9 The differences and similarities of the illustrated embodiments are not described in detail.

[0129] like Figure 10 As shown, in the embodiment of the present disclosure, the step of determining the second monitoring evaluation information corresponding to the second monitoring wave based on the threshold node and the second threshold information includes the following steps.

[0130] Step S410: determining a plurality of second time periods corresponding to a second monitoring wave based on the threshold node and the second threshold information.

[0131] It should be understood that the second monitoring wave has periodicity, and a plurality of second time periods corresponding to the second monitoring wave can be determined based on the threshold node and the second threshold information.

[0132] Exemplarily, the moment when the second monitoring wave is sensed based on the threshold node is used as the starting node of the second time period, and the ending node of the second time period is determined based on a preset time period.

[0133] Step S420: for each second time period in the plurality of second time periods, determine the starting point value information and the peak value information corresponding to the second time period.

[0134] Exemplarily, the peak value information of the second monitoring wave corresponding to the second time period refers to the peak value information of the second monitoring wave monitored in the second time period.

[0135] In one embodiment of the present disclosure, the peak information of the second monitoring wave is determined by taking the starting node of the second time period as the starting point, and then extending a fixed time period (for example, 100ms) along the time axis to determine the peak information of the second monitoring wave within the time period.

[0136] Step S430: Determine second monitoring evaluation information based on the starting point value information and peak value information corresponding to each of the plurality of second time periods.

[0137] The cardiac signal monitoring method provided by the embodiments of the present disclosure determines multiple second time periods corresponding to a second monitoring wave based on a threshold node and second threshold information, and then, for each of the multiple second time periods, determines starting value information and peak value information corresponding to the second time period, and further determines second monitoring evaluation information based on the starting value information and peak value information corresponding to each of the multiple second time periods, thereby achieving the purpose of determining the second monitoring evaluation information corresponding to the second monitoring wave based on the threshold node and the second threshold information.

[0138] Figure 11 The figure shows a schematic flowchart of determining second monitoring evaluation information based on the starting value information and peak value information corresponding to each of multiple second time periods provided by an exemplary embodiment of the present disclosure. In the present disclosure Figure 10 Based on the embodiment shown, the present disclosure Figure 11 extends to the embodiment shown below. The following focuses on Figure 11 the differences between the embodiment shown and Figure 10 the embodiment shown, and the same parts will not be elaborated.

[0139] As Figure 11 shown, in the embodiments of the present disclosure, the step of determining second monitoring evaluation information based on the starting value information and peak value information corresponding to each of multiple second time periods includes the following steps.

[0140] Step S431: For each of the multiple second time periods, determine second region label information of the second time period based on the starting value information and peak value information corresponding to the second time period.

[0141] Exemplarily, the second region labels include an adjustment label, a key attention label, and a maintenance label. Correspondingly, the second region label information includes adjustment label information, key attention label information, and maintenance label information. The adjustment label indicates that the parameters of the sense amplifier corresponding to the cardiac signal (such as the threshold node and / or the second threshold information mentioned above) need to be adjusted. The key attention label indicates that the parameters of the sense amplifier corresponding to the cardiac signal need to be key-attended but do not need to be adjusted temporarily. The maintenance label indicates that the sensing parameters corresponding to the cardiac signal are appropriate and do not need to be adjusted.

[0142] Step S432: Determine second monitoring evaluation information based on the second region label information corresponding to each of the multiple second time periods.

[0143] For example, if the second region label information of six consecutive second time periods among the multiple second time periods mentioned in step S432 is all adjustment label information, then it indicates that the sensing parameters corresponding to the cardiac signal need to be adjusted.

[0144] The heart signal monitoring method provided by the embodiments of the present disclosure determines the second region label information of the second time period based on the starting value information and the peak value information corresponding to the second time period for each of the multiple second time periods, and then determines the second monitoring and evaluation information based on the second region label information corresponding to each of the multiple second time periods, thereby achieving the purpose of determining the second monitoring and evaluation information based on the starting value information and the peak value information corresponding to each of the multiple second time periods. As mentioned above, whether it is a subject with a heart disease or a subject without a heart disease, their heart signals are very complex. Therefore, the embodiments of the present disclosure further improve the rationality and accuracy of the determined second monitoring and evaluation information by monitoring in time periods and combining the second region label information corresponding to each time period.

[0145] Figure 12 The following is a schematic flowchart showing the process of determining the second region label information of the second time period based on the starting value information and the peak value information corresponding to the second time period provided by an exemplary embodiment of the present disclosure. In the present disclosure Figure 11 Based on the embodiment shown, an embodiment of the present disclosure is extended Figure 12 The embodiment shown below will be mainly described Figure 12 The differences between the embodiment shown and Figure 11 the embodiment shown will be described below, and the same parts will not be repeated.

[0146] As Figure 12 shown, in the embodiments of the present disclosure, the steps of determining the second region label information of the second time period based on the starting value information and the peak value information corresponding to the second time period include the following steps.

[0147] Step S4311: Calculate the second difference information between the peak value information and the starting value information.

[0148] Exemplarily, the second monitoring wave is the R wave, and the peak value information of the second monitoring wave is represented by A n and the starting value information of the second monitoring wave is represented by B n . Then, the second difference information R 1n mentioned in step S4311 can be represented by the following formula (3).

[0149] R 1n = A n - B n (3)

[0150] It should be understood that in the embodiments of the present disclosure, n represents different second time periods and is a positive integer greater than or equal to 1.

[0151] Step S4312: Calculate the second ratio information corresponding to the second difference information and the peak value information.

[0152] Continuing with the above example, the second ratio information R 2n can be expressed by the following formula (4).

[0153]

[0154] Step S4313, determining the second region label information based on the second ratio information.

[0155] For example, if the second monitoring wave is the R wave, if the second ratio information R 2n is less than 10%, then confirm that the second region label information is the "R wave sensing - potential under-sensing" label information. Then, correspondingly, if the second region label information corresponding to six consecutive second time periods is all the "potential under-sensing" label information, then change the sensing amplifier parameters in the medical device (such as increasing the preset gain level of sensing by one level, for example, from 0.3 mV to 0.15 mV, or increasing the gain, in order to make the second ratio information R 2n reach, for example, 25% or even higher), and store the relevant information for the doctor's reference. If the second ratio information R 2n is greater than 10% and less than 25%, then confirm that the second region label information is the "R wave sensing - need attention" label information. Then, correspondingly, if the second region label information corresponding to six consecutive second time periods is all the "R wave sensing" label information, then store the relevant information and send it to the hardware device of the relevant doctor for the doctor's reference.

[0156] The cardiac signal monitoring method provided by the embodiments of the present disclosure realizes the purpose of determining the second region label information of the second time period based on the starting value information and the peak value information corresponding to the second time period by calculating the second difference information between the peak value information and the starting value information corresponding to the second time period, then calculating the second ratio information between the second difference information and the peak value information, and determining the second region label information based on the second ratio information. The embodiments of the present disclosure can improve the accuracy of the determined second region label information.

[0157] In an embodiment of the present disclosure, if A n is equal to the maximum output of the sensing amplifier, it means that the R wave has caused the output of the sensing amplifier to saturate, then the gain level of the sensing amplifier can be reduced, for example, from 0.15 mV to 0.3 mV. Alternatively, the gain level of the sensing amplifier can be reduced until A n is continuously lower than the maximum output of the sensing amplifier. Or, without making any changes, mark this information to prompt the doctor to pay attention. Regardless of how it is processed, the relevant information can also be stored for the doctor's reference.

[0158] Figure 13The figure is a flow chart of determining a plurality of second time periods corresponding to a second monitoring wave based on a threshold node and second threshold information provided by an exemplary embodiment of the present disclosure. Figure 10 The present disclosure is extended based on the embodiment shown Figure 13 The embodiment shown is described below in detail. Figure 13 The embodiment shown and Figure 10 The differences and similarities of the illustrated embodiments are not described in detail.

[0159] like Figure 13 As shown, in the embodiment of the present disclosure, the steps of determining multiple second time periods corresponding to the second monitoring wave based on the threshold node and the second threshold information include the following steps.

[0160] Step S411: determining a plurality of second monitoring nodes that monitor a second monitoring wave based on the threshold node.

[0161] For example, if the second monitoring wave is periodic, then the time node at which the threshold node is reached at the beginning of each cycle is determined as the second monitoring node.

[0162] It should be noted that, in some embodiments, the second monitoring node mentioned in this embodiment is the first monitoring node mentioned in the above embodiment. In other words, the node that initially monitors the R wave in each cycle mentioned in the above embodiment is the node that initially monitors the R wave using the threshold node.

[0163] Step S412: for each second monitoring node among the plurality of second monitoring nodes, taking the second monitoring node as a starting point and extending the time period after the preset time period, as a second time period corresponding to the second monitoring node.

[0164] Exemplarily, the second monitoring node mentioned in the embodiment of the present disclosure and the first monitoring node mentioned in the above embodiment are the same monitoring node.

[0165] The cardiac signal monitoring method provided by the embodiment of the present disclosure achieves the purpose of determining multiple second time periods corresponding to the second monitoring wave based on the threshold node and the second threshold information. The method of determining the second time period mentioned in the embodiment of the present disclosure achieves the purpose of more accurately monitoring the cardiac signal. In particular, when the first monitoring wave is a T wave and the second monitoring wave is an R wave, or the first monitoring wave is an FFR wave and the second monitoring wave is a P wave, the embodiment of the present disclosure can fully take into account the actual correlation between the first monitoring wave and the second monitoring wave that have a correlation relationship, thereby improving the accuracy of the cardiac signal monitored within the self-rhythm monitoring time interval.

[0166] Figure 14 FIG. 1 is a schematic diagram of a waveform monitored during a self-rhythm monitoring time interval provided by an exemplary embodiment of the present disclosure. Specifically, Figure 14The figure shows a waveform schematic diagram of R waves and T waves monitored during the self-rhythm monitoring time interval, and this waveform schematic diagram can characterize the situation of the ventricles of the subject. Similar to Figure 8 Similar, Figure 14 Examples of the first threshold information, the first monitoring node, etc. are given. Among them, the threshold node can be the cut-off node of the second threshold information. In different second time periods, the specific value of the threshold node can be different, that is, the values of B1 and B2 can be different.

[0167] In an embodiment of the present disclosure, the above-mentioned cardiac signal monitoring method can be executed at a specific time of a natural day. For example, twice a natural day, once at night (such as starting at 3:00 am) and once during the day (such as starting at 3:00 pm). Another example is four times a natural day, that is, once every six hours, which are 3:00 am, 9:00 am, 3:00 pm, and 9:00 pm respectively. It can also be monitored once every 15 minutes or once an hour. The embodiments of the present disclosure do not make a unified limitation on this.

[0168] Figure 15 The figure shows a schematic flowchart of the cardiac signal monitoring method provided by another exemplary embodiment of the present disclosure. Based on the embodiment shown in the present disclosure Figure 9 An embodiment of the present disclosure is extended based on the shown embodiment, and Figure 15 The embodiment shown below is emphasized. Figure 15 The differences between the embodiment shown and Figure 9 The shown embodiment are described, and the same points will not be repeated.

[0169] As Figure 15 shown, the cardiac signal monitoring method provided by the embodiment of the present disclosure further includes the following steps.

[0170] Step S500, adjusting the parameters of the sensing function of the monitoring device based on the first monitoring and evaluation information and / or the second monitoring and evaluation information.

[0171] Exemplarily, the monitoring device is an implantable medical device such as a cardiac pacemaker.

[0172] Step S600, sending an alarm message based on the first monitoring and evaluation information and / or the second monitoring and evaluation information.

[0173] For example, an alarm message is sent to the communication devices (such as mobile phones, tablet computers, and auxiliary communication devices dedicated to medical devices) of doctors and / or the family members of the subject and / or the subject himself based on the first monitoring and evaluation information and / or the second monitoring and evaluation information.

[0174] In some embodiments, according to the patient severity information, the alarm information can be divided into different levels. For example, the first level is to immediately alarm and immediately call first aid numbers such as 110 and / or 120. The second level is to delay the alarm, but record the alarm situation in the form of numbers or charts, and notify the doctor to check this information online when available. Or the third level is that when the patient goes to the hospital next time, the recorded information can be shown to the doctor for reference.

[0175] Step S700, adjust at least one of the first threshold information, threshold node, second threshold information, and maximum sensitivity threshold based on the first monitoring and evaluation information and / or the second monitoring and evaluation information.

[0176] Exemplarily, adjust the sensing parameters of the sensing amplifier based on the first monitoring and evaluation information and / or the second monitoring and evaluation information, and then adjust at least one of the first threshold information, threshold node, second threshold information, and maximum sensitivity threshold.

[0177] Exemplarily, the method further includes storing relevant data corresponding to the first monitoring and evaluation information and / or the second monitoring and evaluation information for post-information processing and doctor evaluation. Among them, the relevant data includes the first monitoring wave, the second monitoring wave, the first threshold information, the second threshold information, and so on.

[0178] It should be noted that steps S500, S600, and S700 in the embodiments of the present disclosure may also be executed after step S200. The embodiments of the present disclosure do not make a unified limitation on this.

[0179] The embodiments of the present disclosure can provide a monitoring device with a suitable sensing sensitivity threshold for the subject according to the actual physical condition of the subject, and can timely detect potential dangers and send the potential dangers to relevant personnel in the form of alarm information, so that the subject can be treated more timely.

[0180] In another embodiment of the present disclosure, before performing the above steps S500, S600, and S700, it is also necessary to perform verification based on the first monitoring and evaluation information and / or the second monitoring and evaluation information.

[0181] On the other hand, the embodiments of the present disclosure provide a method for monitoring cardiac signals. The method includes: in a preset monitoring time interval, determine the threshold node and the second threshold information corresponding to the second monitoring wave based on the second monitoring wave in the electrocardiogram corresponding to the first monitoring wave, where the threshold node and the second threshold information are used to sense the second monitoring wave, and the second threshold information is used to avoid sensing the first monitoring wave; determine the second monitoring and evaluation information corresponding to the second monitoring wave based on the threshold node and the second threshold information.

[0182] Exemplary Devices

[0183] Figure 16 The following is a schematic structural diagram of a heart signal monitoring device provided by an exemplary embodiment of the present disclosure. As Figure 16 shown, the heart signal monitoring device provided by the embodiment of the present disclosure includes:

[0184] A first determination module 100, configured to determine first threshold information corresponding to a first monitoring wave based on the first monitoring wave in an electrocardiogram during a preset monitoring time interval;

[0185] A second determination module 200, configured to determine first monitoring evaluation information corresponding to the first monitoring wave based on the first threshold information.

[0186] Figure 17 The following is a schematic structural diagram of the second determination module provided by an exemplary embodiment of the present disclosure. Based on the embodiment shown in the present disclosure Figure 16 extends the embodiment shown in the present disclosure Figure 17 The following focuses on describing Figure 17 the differences between the embodiment shown and Figure 16 the embodiment shown, and the same parts will not be described again.

[0187] As Figure 17 shown, in the embodiment of the present disclosure, the second determination module 200 includes:

[0188] A first time period determination unit 210, configured to determine a plurality of first time periods corresponding to the first monitoring wave based on a second monitoring wave in the electrocardiogram corresponding to the first monitoring wave;

[0189] A peak information determination unit 220, configured to determine peak information of the first monitoring wave corresponding to each first time period among the plurality of first time periods;

[0190] A first monitoring evaluation information determination unit 230, configured to determine the first monitoring evaluation information based on the peak information of the first monitoring wave corresponding to each of the plurality of first time periods and the first threshold information.

[0191] Figure 18 The following is a schematic structural diagram of the first monitoring evaluation information determination unit provided by an exemplary embodiment of the present disclosure. Based on the embodiment shown in the present disclosure Figure 17 extends the embodiment shown in the present disclosure Figure 18 The following focuses on describing Figure 18 the differences between the embodiment shown and Figure 17 the embodiment shown, and the same parts will not be described again.

[0192] As Figure 18 shown, in the embodiment of the present disclosure, the first monitoring evaluation information determination unit 230 includes:

[0193] A first region label information determination subunit 231, configured to determine, for each first time period among a plurality of first time periods, first region label information of the first time period based on peak information of a first monitoring wave corresponding to the first time period and first threshold information;

[0194] A first monitoring evaluation information determination subunit 232, configured to determine first monitoring evaluation information based on first region label information corresponding to each of the plurality of first time periods.

[0195] Figure 19 The figure shows a schematic structural diagram of a first time period determination unit provided by an exemplary embodiment of the present disclosure. Based on the embodiment shown in the present disclosure Figure 17 An embodiment of the present disclosure is extended. Based on the embodiment shown in the present disclosure Figure 19 An embodiment shown is emphasized below. Figure 19 Differences between the embodiment shown and Figure 17 The embodiment shown are described below, and the same parts will not be elaborated.

[0196] As Figure 19 shown, in an embodiment of the present disclosure, the first time period determination unit 210 includes:

[0197] An occurrence period information determination subunit 211, configured to determine occurrence period information corresponding to a second monitoring wave;

[0198] A first monitoring node determination subunit 212, configured to determine a plurality of first monitoring nodes where the second monitoring wave is monitored;

[0199] A first time period determination subunit 213, configured to determine a plurality of first time periods based on the occurrence period information and the plurality of first monitoring nodes.

[0200] Figure 20 The figure shows a schematic structural diagram of a heart signal monitoring device provided by another exemplary embodiment of the present disclosure. Based on the embodiment shown in the present disclosure Figure 16 An embodiment of the present disclosure is extended. Based on the embodiment shown in the present disclosure Figure 20 An embodiment shown is emphasized below. Figure 20 Differences between the embodiment shown and Figure 16 The embodiment shown are described below, and the same parts will not be elaborated.

[0201] As Figure 20 shown, the heart signal monitoring device provided by the embodiment of the present disclosure further includes:

[0202] A third determination module 300, configured to determine a threshold node and second threshold information corresponding to the second monitoring wave based on the second monitoring wave in the electrocardiogram corresponding to the first monitoring wave;

[0203] The fourth determination module 400 is configured to determine second monitoring evaluation information corresponding to a second monitoring wave based on a threshold node and second threshold information.

[0204] Figure 21 The following is a schematic structural diagram of the fourth determination module provided by an exemplary embodiment of the present disclosure. Based on the embodiment shown in the present disclosure Figure 20 An embodiment of the present disclosure is extended. Figure 21 For the embodiment shown below, Figure 21 The differences between the embodiment shown and Figure 20 the embodiment shown will be mainly described below, and the same parts will not be repeated.

[0205] As Figure 21 shown, in the embodiment of the present disclosure, the fourth determination module 400 includes:

[0206] A second time period determination unit 410, configured to determine a plurality of second time periods corresponding to the second monitoring wave based on a threshold node and second threshold information;

[0207] A start value information and peak value information determination unit 420, configured to determine start value information and peak value information corresponding to each of the plurality of second time periods;

[0208] A second monitoring evaluation information determination unit 430, configured to determine second monitoring evaluation information based on the start value information and peak value information respectively corresponding to the plurality of second time periods.

[0209] Figure 22 The following is a schematic structural diagram of the second monitoring evaluation information determination unit provided by an exemplary embodiment of the present disclosure. Based on the embodiment shown in the present disclosure Figure 21 An embodiment of the present disclosure is extended. Figure 22 For the embodiment shown below, Figure 22 The differences between the embodiment shown and Figure 21 the embodiment shown will be mainly described below, and the same parts will not be repeated.

[0210] As Figure 22 shown, in the embodiment of the present disclosure, the second monitoring evaluation information determination unit 430 includes:

[0211] A second region label information determination subunit 431, configured to determine second region label information of each of the plurality of second time periods based on the start value information and peak value information corresponding to the second time period;

[0212] A second monitoring evaluation information determination subunit 432, configured to determine second monitoring evaluation information based on the second region label information respectively corresponding to the plurality of second time periods.

[0213] Figure 23The figure is a schematic diagram of the structure of a second time period determination unit provided by an exemplary embodiment of the present disclosure. Figure 21 The present disclosure is extended based on the embodiment shown Figure 23 The embodiment shown is described below in detail. Figure 23 The embodiment shown and Figure 21 The differences and similarities of the illustrated embodiments are not described in detail.

[0214] like Figure 23 As shown, in the embodiment of the present disclosure, the second time period determining unit 410 includes:

[0215] The second monitoring node determination subunit 411 is used to determine a plurality of second monitoring nodes that monitor the second monitoring wave based on the threshold node;

[0216] The second time period determination subunit 412 is used to, for each second monitoring node among the plurality of second monitoring nodes, use the time period obtained by extending the preset time period from the second monitoring node as the second time period corresponding to the second monitoring node.

[0217] Figure 24 FIG. 1 is a schematic diagram of the structure of a cardiac signal monitoring device provided by another exemplary embodiment of the present disclosure. Figure 20 The present disclosure is extended based on the embodiment shown Figure 24 The embodiment shown is described below in detail. Figure 24 The embodiment shown and Figure 20 The differences and similarities of the illustrated embodiments are not described in detail.

[0218] like Figure 24 As shown, the heart signal monitoring device provided by the embodiment of the present disclosure also includes:

[0219] A first adjustment module 500, configured to adjust parameters of a sensing function of a monitoring device based on the first monitoring and evaluation information and / or the second monitoring and evaluation information;

[0220] The early warning module 600 is used to send an alarm message based on the first monitoring and evaluation information and / or the second monitoring and evaluation information.

[0221] The second adjustment module 700 is used to adjust at least one of the first threshold information, the threshold node, the second threshold information and the highest sensitivity threshold based on the first monitoring and evaluation information and / or the second monitoring and evaluation information.

[0222] Exemplarily, the second adjustment module 700 is also used to store relevant data corresponding to the first monitoring and evaluation information and / or the second monitoring and evaluation information for information post-processing and doctor evaluation. The relevant data includes the first monitoring wave, the second monitoring wave, the first threshold information, the second threshold information, and the like.

[0223] In another aspect, embodiments of the present disclosure provide a cardiac signal monitoring device, which includes: a third determination module configured to determine a threshold node and second threshold information corresponding to a second monitoring wave based on the second monitoring wave in an electrocardiogram corresponding to a first monitoring wave, where the threshold node and the second threshold information are used to sense the second monitoring wave, and the second threshold information is used to avoid sensing the first monitoring wave; a fourth determination module configured to determine second monitoring evaluation information corresponding to the second monitoring wave based on the threshold node and the second threshold information.

[0224] It should be understood that Figures 16 to 24 the operations and functions of the modules, units, and subunits included in the provided cardiac signal monitoring device may refer to the above Figures 3 to 13 provided cardiac signal monitoring method. To avoid repetition, it will not be elaborated here.

[0225] In addition, it should be noted that the cardiac signal monitoring device mentioned in the above embodiments may itself have the cardiac signal monitoring method mentioned in the above embodiments or be combined with existing medical devices / instruments to implement the cardiac signal monitoring method mentioned in the above embodiments by means of the reference parameters collected by the data acquisition function of the existing medical devices / instruments, and further achieve the purpose of monitoring arrhythmia events (including but not limited to PVC or PAC, non-sustained VT, atrial fibrillation (AF), ventricular tachycardia (VT), and ventricular fibrillation (VF), etc.) by means of the cardiac signal monitoring method.

[0226] Next, reference is made to Figure 25 describe a medical electronic device according to an embodiment of the present disclosure. Figure 25 The following shows a schematic structural diagram of a medical electronic device provided by an exemplary embodiment of the present disclosure.

[0227] As Figure 25 shown, the medical electronic device 2600 includes one or more processors 2601 and a memory 2602.

[0228] The processor 2601 may be a central processing unit (CPU) or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and may control other components in the medical electronic device 2600 to perform desired functions.

[0229] The memory 2602 may include one or more computer program products, and the computer program products may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage media, and the processor 2601 may run the program instructions to implement the heart signal monitoring method of various embodiments of the present disclosure described above and / or other desired functions. Various contents such as heart rate information may also be stored in the computer-readable storage media.

[0230] In one example, the medical electronic device 2600 may further include: an input device 2603 and an output device 2604, and these components are interconnected through a bus system and / or other forms of connection mechanisms (not shown).

[0231] The input device 2603 may include, for example, a keyboard, a mouse, and so on.

[0232] The output device 2604 may output various information to the outside, including the determined first monitoring and evaluation information, etc. The output device 2604 may include, for example, a display, a speaker, a printer, and a communication network and its connected remote output devices, etc.

[0233] Of course, for simplicity, Figure 25 only some of the components related to the present disclosure in the medical electronic device 2600 are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, according to specific application scenarios, the medical electronic device 2600 may further include any other appropriate components.

[0234] In addition to the above methods and devices, embodiments of the present disclosure may also be computer program products, which include computer program instructions that, when run by a processor, cause the processor to execute the steps in the heart signal monitoring method according to various embodiments of the present disclosure described above in this specification.

[0235] The computer program product may be written in any combination of one or more programming languages for executing the program code of the operations of the embodiments of the present disclosure. The programming languages include object-oriented programming languages such as Java, C++, etc., and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computing device, partially on the user's device, executed as a stand-alone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0236] In addition, an embodiment of the present disclosure may also be a computer-readable storage medium having computer program instructions stored thereon. When the computer program instructions are run by a processor, the processor is caused to execute the steps in the method for monitoring a cardiac signal according to various embodiments of the present disclosure described above in this specification.

[0237] The computer-readable storage medium may employ any combination of one or more readable media. The readable media may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0238] The basic principles of the present disclosure have been described above in conjunction with specific embodiments. However, it should be noted that the advantages, benefits, effects, etc. mentioned in the present disclosure are only examples and not limitations, and it cannot be considered that these advantages, benefits, effects, etc. are essential for each embodiment of the present disclosure. In addition, the above-described specific details are only for the purposes of illustration and easy understanding, and not for limitation. The above details do not limit the present disclosure to necessarily implement using the above specific details.

[0239] The block diagrams of the devices, apparatuses, equipment, and systems involved in the present disclosure are only exemplary examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open-ended terms meaning "including but not limited to" and can be used interchangeably with each other. The words "or" and "and" used herein refer to the phrase "and / or" and can be used interchangeably with it, unless the context clearly indicates otherwise. The word "such as" used herein refers to the phrase "such as but not limited to" and can be used interchangeably with it.

[0240] It should also be noted that in the devices, equipment, and methods of the present disclosure, each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent solutions of the present disclosure.

[0241] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of the present disclosure. Therefore, the present disclosure is not intended to be limited to the aspects shown herein, but rather to the broadest scope consistent with the principles and novel features disclosed herein.

[0242] The above description has been given for purposes of illustration and description. In addition, this description is not intended to limit the embodiments of the present disclosure to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions, and sub-combinations thereof.

Claims

1. A method for monitoring cardiac signals, characterized in that, Including: During a preset monitoring time interval, determining first threshold information corresponding to the first monitoring wave based on the first monitoring wave in an electrocardiogram, where the first threshold information is used to monitor the first monitoring wave; Determining a plurality of first time periods corresponding to the first monitoring wave based on a second monitoring wave in the electrocardiogram corresponding to the first monitoring wave; For each of the plurality of first time periods, determining peak information of the first monitoring wave corresponding to the first time period; For each of the plurality of first time periods, determining first region label information of the first time period based on the peak information of the first monitoring wave corresponding to the first time period and the first threshold information; Determining first monitoring evaluation information corresponding to the first monitoring wave based on the first region label information corresponding to each of the plurality of first time periods; where the first region label information includes at least one of adjustment label information and retention label information; where the adjustment label information indicates that a first parameter of a sense amplifier corresponding to a cardiac signal needs to be adjusted, and the retention label information indicates that the first parameter does not need to be adjusted; the first monitoring evaluation information is used to indicate whether the first parameter needs to be adjusted, and the first parameter includes at least one of the first threshold information and a highest sensitivity threshold.

2. The cardiac signal monitoring method according to claim 1, wherein When the first region label information corresponding to a plurality of consecutive first time periods among the plurality of first time periods is the adjustment label information, the first monitoring evaluation information indicates that the first parameter needs to be adjusted.

3. The cardiac signal monitoring method according to claim 1, wherein, The determining the first region label information of the first time period based on the peak information of the first monitoring wave corresponding to the first time period and the first threshold information includes: Calculating first difference information corresponding to the peak information of the first monitoring wave corresponding to the first time period and the first threshold information; Calculating first ratio information corresponding to the first difference information and the first threshold information; Determining the first region label information based on the first ratio information.

4. The cardiac signal monitoring method according to any one of claims 1 to 3, characterized in that The determining the plurality of first time periods corresponding to the first monitoring wave based on the second monitoring wave in the electrocardiogram corresponding to the first monitoring wave includes: Determining occurrence period information corresponding to the second monitoring wave; Determining a plurality of first monitoring nodes at which the second monitoring wave is detected; Determining the plurality of first time periods based on the occurrence period information and the plurality of first monitoring nodes, where there is a one-to-one correspondence between the plurality of first time periods and the plurality of first monitoring nodes.

5. The cardiac signal monitoring method according to claim 1, wherein The first region label information further includes key attention label information; where the adjustment label information indicates that the first threshold information needs to be adjusted; the key attention label information indicates that the first threshold information needs to be key-attended but does not need to be adjusted temporarily; the retention label information indicates that the first threshold information is appropriate and does not need to be adjusted.

6. The cardiac signal monitoring method according to claim 4, wherein The determining the plurality of first time periods based on the occurrence period information and the plurality of first monitoring nodes includes: For each of the multiple first monitoring nodes, based on the first monitoring node, extend a preset time period to determine the starting time node of the first time period corresponding to the first monitoring node; Determine the ending time node of the first time period corresponding to the first monitoring node based on a preset percentage of the occurrence cycle information; Determine the first time period corresponding to the first monitoring node based on the starting time node and the ending time node.

7. The cardiac signal monitoring method according to any one of claims 1 to 3, characterized in that, The first monitoring wave is a T wave, and the second monitoring wave is an R wave; and / or, The first monitoring wave is an FFR wave, and the second monitoring wave is a P wave.

8. The cardiac signal monitoring method according to any one of claims 1 to 3, characterized in that, The preset monitoring time interval includes a self-rhythm monitoring time interval, and the method further includes: Determine the second threshold information and the threshold node corresponding to the second monitoring wave based on the second monitoring wave in the electrocardiogram corresponding to the first monitoring wave, where the threshold node and the second threshold information are used to sense the second monitoring wave, and the second threshold information is used to avoid sensing the first monitoring wave; Determine the second monitoring evaluation information corresponding to the second monitoring wave based on the threshold node and the second threshold information.

9. The cardiac signal monitoring method according to claim 8, characterized in that, The determining the second monitoring evaluation information corresponding to the second monitoring wave based on the threshold node and the second threshold information includes: Determine multiple second time periods corresponding to the second monitoring wave based on the threshold node and the second threshold information; For each of the multiple second time periods, determine the starting value information and the peak value information corresponding to the second time period; For each of the multiple second time periods, based on the starting value information and the peak value information corresponding to the second time period, determine the second region label information of the second time period; Determine the second monitoring evaluation information based on the second region label information corresponding to each of the multiple second time periods, where the second region label information includes at least one of an adjustment label information and a hold label information; where the adjustment label information indicates that the second parameter of the sensing amplifier corresponding to the cardiac signal needs to be adjusted, and the hold label information indicates that the second parameter does not need to be adjusted; the second monitoring evaluation information is used to indicate whether the second parameter needs to be adjusted, and the second parameter includes at least one of the threshold node, the second threshold information, and the highest sensitivity threshold.

10. The cardiac signal monitoring method according to claim 9, characterized in that, When the second region label information corresponding to multiple consecutive second time periods among the multiple second time periods is the adjustment label information, the second monitoring evaluation information indicates that the second parameter needs to be adjusted.

11. The cardiac signal monitoring method according to claim 9, wherein The second region label information further includes a key attention label information, where the adjustment label information indicates that the threshold node and / or the second threshold information needs to be adjusted; the key attention label information indicates that the threshold node and / or the second threshold information needs to be key-attended but does not need to be adjusted temporarily; the hold label information indicates that the threshold node and / or the second threshold information is appropriate and does not need to be adjusted.

12. The cardiac signal monitoring method according to any one of claims 9 to 11, characterized in that, The first threshold information and the second threshold information are the same and are linear or exponentially decaying threshold information; and, the method for monitoring a cardiac signal further includes: Adjusting parameters of the sensing function of the monitoring device based on the first monitoring and evaluation information and / or the second monitoring and evaluation information; and / or, Sending an alarm message based on the first monitoring and evaluation information and / or the second monitoring and evaluation information; and / or, Adjusting at least one of the first threshold information, the threshold node, the second threshold information, and the highest sensitivity threshold based on the first monitoring and evaluation information and / or the second monitoring and evaluation information; and / or, Storing relevant data corresponding to the first monitoring and evaluation information and / or the second monitoring and evaluation information for post-information processing and doctor evaluation.

13. A method for monitoring cardiac signals, characterized in that, Including: During a preset monitoring time interval, determining a threshold node and second threshold information corresponding to a second monitoring wave in an electrocardiogram corresponding to a first monitoring wave, where the threshold node and the second threshold information are used to sense the second monitoring wave, and the second threshold information is used to avoid sensing the first monitoring wave; Determining a plurality of second time periods corresponding to the second monitoring wave based on the threshold node and the second threshold information; For each of the plurality of second time periods, determining start value information and peak value information corresponding to the second time period; For each of the plurality of second time periods, determining second region label information corresponding to the second time period based on the start value information and the peak value information corresponding to the second time period; Determining second monitoring and evaluation information based on the second region label information corresponding to each of the plurality of second time periods; Wherein, the second region label information includes at least one of adjustment label information and retention label information; wherein the adjustment label information indicates that a second parameter of a sensing amplifier corresponding to a cardiac signal needs to be adjusted, and the retention label information indicates that the second parameter does not need to be adjusted; the second monitoring and evaluation information is used to indicate whether the second parameter needs to be adjusted, and the second parameter includes at least one of the threshold node, the second threshold information, and the highest sensitivity threshold.

14. The cardiac signal monitoring method according to claim 13, wherein When the second region label information corresponding to a plurality of consecutive second time periods among the plurality of second time periods is the adjustment label information, the second monitoring and evaluation information indicates that the second parameter needs to be adjusted.

15. The cardiac signal monitoring method according to claim 13, wherein Including: During the preset monitoring time interval, determining first threshold information corresponding to a first monitoring wave in an electrocardiogram, where the first threshold information is used to monitor the first monitoring wave; Determining first monitoring and evaluation information corresponding to the first monitoring wave based on the first threshold information.

16. The cardiac signal monitoring method according to claim 13, wherein The determining the second region label information corresponding to the second time period based on the start value information and the peak value information corresponding to the second time period includes: Calculating a second difference information between the peak value information and the start value information; Calculating a second ratio information between the second difference information and the peak value information; Determining the second region label information based on the second ratio information.

17. The cardiac signal monitoring method according to any one of claims 13 to 16, characterized in that The determining a plurality of second time periods corresponding to the second monitoring wave based on the threshold node and the second threshold information includes: Determining a plurality of second monitoring nodes that monitor the second monitoring wave based on the threshold node; For each second monitoring node among the multiple second monitoring nodes, a time period obtained by extending the preset time period from the second monitoring node as a starting point is used as a second time period corresponding to the second monitoring node.

18. The cardiac signal monitoring method according to claim 15, wherein After that, it also includes: Adjusting parameters of the sensing function of the monitoring device based on the first monitoring and evaluation information and / or the second monitoring and evaluation information; and / or, Sending an alarm message based on the first monitoring and evaluation information and / or the second monitoring and evaluation information; and / or, adjusting at least one of the first threshold information, the threshold node, the second threshold information and the highest sensitivity threshold based on the first monitoring and evaluation information and / or the second monitoring and evaluation information; and / or, The relevant data corresponding to the first monitoring and evaluation information and / or the second monitoring and evaluation information are stored for information post-processing and doctor evaluation.

19. The cardiac signal monitoring method according to any one of claims 13 to 16, characterized in that, The second area label information also includes focus label information, wherein the adjustment label information indicates that the threshold node and / or the second threshold information need to be adjusted; the focus label information indicates that the threshold node and / or the second threshold information need to be focused on but do not need to be adjusted temporarily; the retention label information indicates that the threshold node and / or the second threshold information are appropriate and do not need to be adjusted.

20. A cardiac signal monitoring device, characterized in that, include: A first determination module, configured to determine, within a preset monitoring time interval, first threshold information corresponding to the first monitoring wave based on a first monitoring wave in an electrocardiogram, wherein the first threshold information is used to monitor the first monitoring wave; A second determination module is configured to determine first monitoring evaluation information corresponding to the first monitoring wave based on the first threshold information, wherein the second determination module includes: a first time period determining unit, configured to determine a plurality of first time periods corresponding to the first monitoring wave based on a second monitoring wave in the electrocardiogram corresponding to the first monitoring wave; a peak information determining unit, configured to determine, for each first time period in the plurality of first time periods, peak information of the first monitoring wave corresponding to the first time period; a first area label information determining subunit, configured to determine, for each first time period in the plurality of first time periods, first area label information of the first time period based on the peak information and first threshold information of the first monitoring wave corresponding to the first time period; and A first monitoring and evaluation information determining subunit, configured to determine the first monitoring and evaluation information based on first area label information corresponding to each of the plurality of first time periods; Among them, the first region label information includes at least one of adjustment label information and retention label information; wherein the adjustment label information indicates that the first parameter of the sense amplifier corresponding to the cardiac signal needs to be adjusted, and the retention label information indicates that the first parameter does not need to be adjusted; the first monitoring and evaluation information is used to indicate whether the first parameter needs to be adjusted, and the first parameter includes at least one of the first threshold information and the highest sensitivity threshold.

21. The cardiac signal monitoring device according to claim 20, wherein When the first region label information corresponding to a continuous plurality of the first time periods among the plurality of first time periods is the adjustment label information, the first monitoring and evaluation information indicates that the first parameter needs to be adjusted.

22. The cardiac signal monitoring device according to claim 20, wherein The first region label information further includes key attention label information; wherein the adjustment label information indicates that the first threshold information needs to be adjusted; the key attention label information indicates that the first threshold information needs to be key-attended but does not need to be adjusted temporarily; the retention label information indicates that the first threshold information is appropriate and does not need to be adjusted; The first monitoring wave is a T wave, and the second monitoring wave is an R wave; and / or, the first monitoring wave is an FFR wave, and the second monitoring wave is a P wave.

23. The cardiac signal monitoring device according to claim 20, wherein Further includes: A third determination module, configured to determine a threshold node and second threshold information corresponding to the second monitoring wave based on the second monitoring wave in the electrocardiogram corresponding to the first monitoring wave, wherein the threshold node and the second threshold information are used to sense the second monitoring wave, and the second threshold information is used to avoid sensing the first monitoring wave; A fourth determination module, configured to determine second monitoring and evaluation information corresponding to the second monitoring wave based on the threshold node and the second threshold information, and the fourth determination module includes: A second time period determination unit, configured to determine a plurality of second time periods corresponding to the second monitoring wave based on the threshold node and the second threshold information; A starting value information and peak value information determination unit, configured to, for each of the plurality of second time periods, determine the starting value information and peak value information corresponding to the second time period; A second region label information determination subunit, configured to, for each of the plurality of second time periods, determine the second region label information of the second time period based on the starting value information and peak value information corresponding to the second time period; and A second monitoring and evaluation information determination subunit, configured to determine second monitoring and evaluation information based on the second region label information corresponding to each of the plurality of second time periods; Among them, the second region label information includes at least one of adjustment label information and retention label information; wherein the adjustment label information indicates that the second parameter of the sense amplifier corresponding to the cardiac signal needs to be adjusted, and the retention label information indicates that the second parameter does not need to be adjusted; the second monitoring and evaluation information is used to indicate whether the second parameter needs to be adjusted, and the second parameter includes at least one of the threshold node, the second threshold information, and the highest sensitivity threshold.

24. The cardiac signal monitoring device according to claim 23, wherein When the second region label information corresponding to multiple consecutive second time periods among the multiple second time periods is the adjustment label information, the second monitoring and evaluation information indicates that the second parameter needs to be adjusted.

25. The cardiac signal monitoring device according to claim 23, wherein the second region label information further includes key attention label information, where the adjustment label information indicates that the threshold node and / or the second threshold information need to be adjusted; the key attention label information indicates that the threshold node and / or the second threshold information need to be key-attended but do not need to be adjusted temporarily; the retention label information indicates that the threshold node and / or the second threshold information are appropriate and do not need to be adjusted.

26. A cardiac signal monitoring device, characterized in that, comprising: a third determination module, configured to determine a threshold node and second threshold information corresponding to a second monitoring wave based on a second monitoring wave in an electrocardiogram corresponding to a first monitoring wave, wherein the threshold node and the second threshold information are used to sense the second monitoring wave, and the second threshold information is used to avoid sensing the first monitoring wave; a fourth determination module, configured to determine second monitoring and evaluation information corresponding to the second monitoring wave based on the threshold node and the second threshold information, and the fourth determination module includes: a second time period determination unit, configured to determine multiple second time periods corresponding to the second monitoring wave based on the threshold node and the second threshold information; a start value information and peak value information determination unit, configured to, for each of the multiple second time periods, determine start value information and peak value information corresponding to the second time period; a second region label information determination subunit, configured to, for each of the multiple second time periods, determine second region label information of the second time period based on the start value information and peak value information corresponding to the second time period; and a second monitoring and evaluation information determination subunit, configured to determine second monitoring and evaluation information based on the second region label information corresponding to each of the multiple second time periods; wherein the second region label information includes at least one of adjustment label information and retention label information; wherein the adjustment label information indicates that a second parameter of a sensing amplifier corresponding to a cardiac signal needs to be adjusted, and the retention label information indicates that the second parameter does not need to be adjusted; the second monitoring and evaluation information is used to indicate whether the second parameter needs to be adjusted, and the second parameter includes at least one of the threshold node, the second threshold information, and the highest sensitivity threshold.

27. The cardiac signal monitoring device according to claim 26, characterized in that, When the second region label information corresponding to multiple consecutive second time periods among the multiple second time periods is the adjustment label information, the second monitoring and evaluation information indicates that the second parameter needs to be adjusted.

28. The cardiac signal monitoring device according to claim 26, wherein The second area tag information further includes key attention tag information, where the adjustment tag information indicates that the threshold node and / or the second threshold information need to be adjusted; the key attention tag information indicates that the threshold node and / or the second threshold information need to be key - attentioned but do not need to be adjusted temporarily; the retention tag information indicates that the threshold node and / or the second threshold information are appropriate and do not need to be adjusted.

29. The cardiac signal monitoring device according to claim 26, wherein, The second threshold information is linear or exponential decay threshold information.

30. A computer - readable storage medium storing a computer program for executing the cardiac signal monitoring method according to any one of claims 1 to 19 above.

31. A medical electronic device, the medical electronic device comprising: a processor; a memory for storing executable instructions of the processor; the processor for executing the cardiac signal monitoring method according to any one of claims 1 to 19 above.

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